Principal Engineer, AI Architect
Tasks
- Define frontend AI native UX patterns
- Define non functional requirements benchmarks
- Define technical strategies across teams
- Design secure scalable backend platforms
- Drive GenAI platformization
- Ensure AI security privacy compliance governance
- Establish engineering standards for AI development
- Evaluate alternatives and select approaches
- Lead GenAI workflow implementation
- Lead technical discovery and POCs
- Own AI architecture
- Partner with cross-functional leaders
- Perform root cause analysis for complex issues
- Produce and review architecture documentation
- Review architectures designs and codebases
- Translate requirements into designs
- Use AI-assisted development tools
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | APIs | AWS | Azure | Cause analysis | Cloud infrastructure | Cloud platform | Compliance | Cost Optimization | Distributed Systems | Enterprise Architecture | Evaluation | Google Cloud | Google Cloud Platform | Governance | LLM Inference | Language Models | Large Language Models | Model Integration | Observability | Privacy | Prompt engineering | Python | RAG | React | Reliability | Responsible AI | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | SDKs | Scalability | Security | Structured data | System design
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Engineer | Principal | Principal Engineer
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